Improving-AML-in-Bitcoin-using-Evolving-graph-convolutions-and-DNDF-

Dataset : https://www.kaggle.com/ellipticco/elliptic-data-set

Code:

EvolveGCN with KD : Node classification using EvolveGCN with Knowledge Distillation

EvolveGCN : Node classification using EvolveGCN

GCDF with KD : Code for proposed methodology in KD pipeline for node classification task on Elliptic dataset

GCDF : Code for proposed methodology for node classification task on Elliptic dataset

GCN : Node classification using graph convolutional networks

GCN with KD : GCN MLP combination for node classification

GraphSAGE, LR, Multilayer perceptron, RF : implementations for node classification task

No dependencies, required packages are imported in the code, code can be run on CPU.

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
EvolveGCN with KD.ipynb		EvolveGCN with KD.ipynb
EvolveGCN.ipynb		EvolveGCN.ipynb
GCDF with KD.ipynb		GCDF with KD.ipynb
GCDF.ipynb		GCDF.ipynb
GCN.ipynb		GCN.ipynb
GCN_with_KD_(MLP).ipynb		GCN_with_KD_(MLP).ipynb
GraphSAGE.ipynb		GraphSAGE.ipynb
LR.ipynb		LR.ipynb
Multilayer_perceptron.ipynb		Multilayer_perceptron.ipynb
README.md		README.md
RF.ipynb		RF.ipynb

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